[1]WANG Jianpeng,YIN Shi,MA Lijun,et al.Spatiotemporal Evolution and Influencing Factors of Cultivated Land Ecological Efficiency in Hebei Province Based on SBM Model[J].Research of Soil and Water Conservation,2022,29(06):81-89.
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Spatiotemporal Evolution and Influencing Factors of Cultivated Land Ecological Efficiency in Hebei Province Based on SBM Model
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 06
Page number:
81-89
Column:
Public date:
2022-10-20
- Title:
- Spatiotemporal Evolution and Influencing Factors of Cultivated Land Ecological Efficiency in Hebei Province Based on SBM Model
- Keywords:
- SBM model; ecological efficiency of cultivated land; temporal and spatial evolution; convergence analysis
- CLC:
- F301.24
- DOI:
- -
- Abstract:
- In order to explore the inherent improvement mechanisms of cultivated lands' ecological efficiency in Hebei Province and maximise the comprehensive benefits of cultivated land economy, society and ecology, taking 137 counties in Hebei Province as a unit, the undesired SBM model was used to measure the ecological efficiency of County Cultivated Land in Hebei Province from 2000 to 2017. The temporal and spatial characteristics of cultivated land ecological efficiency were analysed from the provincial, municipal and county levels. The spatial autocorrelation was used to explore the spatial relationship, and the convergence model was used for convergence analysis. The results show that:(1)From the perspective of province and city, the overall cultivated land ecological efficiency of Hebei Province fluctuated in 18 years, showing a trend of first decreasing and then increasing, that is, from 0.773 to 0.563, and then rising to 0.796. Although it has improved, the overall level needs to be improved.(2)From the perspective of counties, the level of cultivated land ecological efficiency in each county has improved on the whole, but there are many county units in an invalid state, accounting for 89.1% of the total research units, and there is a certain spatial aggregation effect in the space of cultivated land ecological efficiency in each county.(3)From the convergence point of view, the ecological efficiency of cultivated land in Hebei Province, the north and the central region have an unstable σ-convergence on the whole, but there is no σ-convergence in the south. At the same time, there are absolute β Convergences in Hebei Province, but absolute β Convergence is reflected in the north, central and south, while there is no absolute β Convergence in the interior. There is still much room for improvement in the ecological efficiency of cultivated land in Hebei Province. The differences in the ecological efficiency of cultivated land among counties in the northern, central and southern regions which are gradually expanding. In the future, the counties in the region should strengthen cooperation to promote the coordinated development of agriculture in each county in the region.
- References:
-
[1] 新华社.中国共产党第十九届中央委员会第五次全体会议公报[EB/OL].新华网,2020-10-29[2021-08-07].
[2] Li G C. The green productivity revolution of agriculture in China from 1978 to 2008[J]. China Economic Quarterly, 2014,13(2):537-558.
[3] Norse D. Low carbon agriculture: Objectives and policy pathways[J]. Environmental Development, 2012,1(1): 25-39.
[4] 张红梅,宋戈.黑龙江垦区耕地利用生态效率及其内部协调性[J].华中农业大学学报:社会科学版,2019(4):160-168.
[5] Hahn T, Figge F, Liesen A, et al. Opportunity cost based analysis of corporate eco-efficiency: A methodology and its application to the CO2-efficiency of German companies[J]. Journal of Environmental Management, 2010,91(10):1997-2007.
[6] Willison J H M, Côté R P. Counting biodiversity waste in industrial eco-efficiency: fisheries case study[J]. Journal of Cleaner Production, 2009,17(3):348-353.
[7] 邵必林,杨会会,王茹.关中城市群生态效率评价:基于功能分工视角的分析[J].国土与自然资源研究,2021(3):61-66.
[8] 金贵,邓祥征,赵晓东,等.2005—2014年长江经济带城市土地利用效率时空格局特征[J].地理学报,2018,73(7):1242-1252.
[9] 孙振清,鲁思思,刘保留.省级区域生态效率评价及提升路径研究:基于超效率SBM模型和Tobit回归[J].生态经济,2021,37(1):124-129.
[10] 任红霞.基于DEA模型的农业生态效率综合测度[J].统计与决策,2019,35(6):99-103.
[11] 崔叶辰,韩亚丽,吕宁,等.基于超效率SBM模型的农业生态效率测度[J].统计与决策,2020,36(21):87-90.
[12] 李新月.吉林省农业生态效率测度研究[J].北方经贸,2021(5):4-6.
[13] 胡卫卫,于水,马智源,等.基于DEA-Malmquist模型的江苏省农业生态效率时空差异分析[J].水土保持通报,2018,38(2):297-302.
[14] 刘华军,石印.中国农业生态效率的空间分异与提升潜力[J].广东财经大学学报,2020,35(6):51-64.
[15] 蒋璟,曹月娥,赵珮珮,等.新疆伊犁州农业生态效率时空差异探究:基于超效率非期望SBM模型和Malmquist指数[J].西北师范大学学报:自然科学版,2021,57(2):101-109.
[16] 刘海龙,王虎,谢亚林,等.集中连片特困区耕地生态效率的时空演变特征及影响因素分析:以吕梁山区为例[J].水土保持研究,2020,27(2):323-329.
[17] 许标文,王海平,杨军,等.丘陵山区地块尺度耕地生态效率及其影响因素分析[J].福建农业学报,2018,33(12):1317-1323.
[18] 崔宁波,王欣媛,于尊.东北粮食主产区耕地生态效率评价及影响因素分析[J].生态经济,2021,37(7):104-110.
[19] 娄诚.长江中游地区耕地利用效率时空演变特征及影响因素研究[D].南昌:江西财经大学,2019.
[20] 鲁庆尧,王树进,孟祥海.基于SBM模型的我国粮食生产生态效率测度与PS收敛检验[J].农村经济,2020(12):24-32.
[21] 徐祥.中国粮食主产区农业生态效率评价、收敛性及影响因素研究[D].安徽蚌埠:安徽财经大学,2020.
[22] 刘丽钦.低碳视角下福建省农业生态效率研究[D].福州:福建省师范大学,2018.
[23] 潘丹,应瑞瑶.中国农业生态效率评价方法与实证:基于非期望产出的SBM模型分析[J].生态学报,2013,33(12):3837-3845.
[24] 王玲.西吉县农业生态效率评价及影响因素分析[D].银川:宁夏大学,2019.
[25] 杨皓然,吴群.碳排放视角下的江苏省土地利用转型生态效率研究:基于混合方向性距离函数[J].自然资源学报,2017,32(10):1718-1730.
[26] 张浩,李世平,靳亚亚,等.河北省耕地利用效率空间差异及影响因素[J].水土保持研究,2016,23(3):185-191.
[27] 侯孟阳,姚顺波.1978—2016年中国农业生态效率时空演变及趋势预测[J].地理学报,2018,73(11):2168-2183.
[28] 王宝义,张卫国.中国农业生态效率测度及时空差异研究[J].中国人口·资源与环境,2016,26(6):11-19.
[29] 吴济华,何柏正.组织效率与生产力评估:资料包络分析法[M].北京:经济管理出版社,2015.
[30] Lio M C, Hu J L. Governance and agricultural production efficiency: A cross-country aggregate frontier analysis[J]. Journal of Agricultural Economics, 2009,60(1):40-61.
[31] Tone K.A slacks:based measure of super-efficiency in data envelopment analysis[J]. European Journal of Operational Research,2002,143(1):32-41.
[32] 姚升.安徽省农业全要素生产率差异及收敛性分析[J].重庆理工大学学报:社会科学版,2016,30(6):31-38.
[33] 孙欣,赵鑫,宋马林.长江经济带生态效率评价及收敛性分析[J].华南农业大学学报:社会科学版,2016,5(15):1-10.
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Last Update:
2022-10-20